Learning with the Semantic Web

Reasoning and Ontologies for Personalized E-Learning in the Semantic Web "Adaptive educational hypermedia systems are able to adapt various visible aspects of the hypermedia systems to the individual requirements of the learners and are very promising tools in the area of e-Learning: Especially in the area of eLearning it is important to take the different needs of learners into account in order to propose learning goals, learning paths, help students in orienting in the e-Learning systems and support them during their learning progress...We propose a framework for such adaptive or personalized educational hypermedia systems for the semantic web. The aim of this approach is to facilitate the development of an adaptive web as envisioned e.g. in (Brusilovsky and Maybury, 2002). In particular, we show how rules can be enabled to reason over distributed information resources in order to dynamically derive hypertext relations. On the web, information can be found in various resources (e.g. documents), in annotation of these resources (like RDF-annotations on the documents themselves), in metadata files (like RDF descriptions), or in ontologies. Based on these sources of information we can think of functionality allowing us to derive new relations between information. "